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| import matplotlib | |
| matplotlib.use('Agg') | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import gradio as gr | |
| def plot(v, a): | |
| g = 9.81 | |
| theta = a / 180 * 3.14 | |
| tmax = ((2 * v) * np.sin(theta)) / g | |
| timemat = tmax * np.linspace(0, 1, 40)[:, None] | |
| x = (v * timemat) * np.cos(theta) | |
| y = ((v * timemat) * np.sin(theta)) - ((0.5 * g) * (timemat**2)) | |
| fig = plt.figure() | |
| plt.scatter(x=x, y=y, marker=".") | |
| plt.xlim(0, 100) | |
| plt.ylim(0, 60) | |
| return fig | |
| demo = gr.Blocks() | |
| with demo: | |
| gr.Markdown( | |
| "Let's do some kinematics! Choose the speed and angle to see the trajectory." | |
| ) | |
| with gr.Row(): | |
| speed = gr.Slider(1, 30, 25, label="Speed") | |
| angle = gr.Slider(0, 90, 45, label="Angle") | |
| output = gr.Plot() | |
| btn = gr.Button(value="Run") | |
| btn.click(plot, [speed, angle], output) | |
| if __name__ == "__main__": | |
| demo.launch() | |